Short-term real time prediction of the extreme ambient carbon monoxide concentrations due to vehicular exhaust emissions using transfer function noise model

Transportation Research Part D: Transport and Environment

Volumn 6, Issue 2, 2001, Pages 141-146

  Sharma, Prateek ^a   Khare, Mukesh ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

ARIMA models; Box jenkins models; Extreme values; Short term prediction; Time series analysis; Transfer function noise models; Vehicular exhaust emissions

Indexed keywords

AIR QUALITY; ATMOSPHERIC POLLUTION; CARBON MONOXIDE; EXHAUST EMISSION; WEATHER FORECASTING;

DELHI; INDIA;

AIR QUALITY; CARBON MONOXIDE; EXHAUST GASES; GAS EMISSIONS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; TRANSFER FUNCTIONS;

VEHICULAR EXHAUST EMISSIONS;

MOTOR TRANSPORTATION;

EID: 0034746165     PISSN: 13619209     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1361-9209(00)00017-1     Document Type: Article

References (5)

1. An algorithm for least square estimation of nonlinear parameters
2. Real-time prediction of extreme ambient carbon monoxide concentrations due to vehicular exhaust emissions using univariate linear stochastic models
3. On the validation of models
4. Statistics for the evaluation and comparison of models